Volker Wiebking

2.3k citations
13 papers · 1.2k indexed · 2 hit papers · h-index 11
Topics
CAR-T cell therapy research (5 papers)Virus-based gene therapy research (4 papers)CRISPR and Genetic Engineering (4 papers)

In The Last Decade

Volker Wiebking

13 papers receiving 1.2k citations

Hit Papers

A high-fidelity Cas9 mutant delivered as a ribonucleoprot...201820262020202320182020100200300400500

Peers

Volker Wiebking
Comparison fields: 5 of 65
  • Molecular Biology 830
  • Oncology 501
  • Genetics 371
  • Immunology 193
  • Biomedical Engineering 149
Replace Cherie L. Ramirez with:
Cherie L. Ramirez United States
Cheng-Jang Wu United States
Friederike Herbst Germany
Victoria E. Brown United States
Amy Goodale United States
Anand Bhagwat United States
Shaina N. Porter United States
Richard H. van Jaarsveld Netherlands
Eman A. Taha Japan
Raffaele Fronza Germany
Volker Wiebking relative to Cherie L. Ramirez United States Cherie L. Ramirez's profile →
Citations per field
00.5×5.7×
Cherie L. Ramirez · 1×
Citations per year

Countries citing papers authored by Volker Wiebking

Since Specialization
Citations

This map shows the geographic impact of Volker Wiebking's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Volker Wiebking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Wiebking more than expected).

Fields of papers citing papers by Volker Wiebking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Volker Wiebking. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Volker Wiebking. The network helps show where Volker Wiebking may publish in the future.

Co-authorship network of co-authors of Volker Wiebking

This figure shows the co-authorship network connecting the top 25 collaborators of Volker Wiebking. A scholar is included among the top collaborators of Volker Wiebking based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Volker Wiebking. Volker Wiebking is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 4
2 14
3
Tuning the Antigen Density Requirement for CAR T-cell Activitybreakdown →
319
4 32
5 53
6 135
7 14
8
A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cellsbreakdown →
541
9 28
10 14
11 30
12 10
13 47

About Volker Wiebking

Volker Wiebking is a scholar working on Hematology, Oncology and Genetics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Virus-based gene therapy research (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Business and International Management (70 citations), Aging (48 citations) and Oncology (501 citations). Volker Wiebking has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Matthew H. Porteus, Gang Bao, Ciaran M. Lee, Mara Pavel-Dinu, Rasmus O. Bak, Rolf Turk, Natalia Gomez‐Ospina, Daniel P. Dever, Christopher A. Vakulskas and Shuqi Yan. Their work appears in journals such as Nature Medicine, Nature Communications and Blood.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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